QA Automation Engineer with AI/ML

Requirements:

• Experience in QA automation, with strong programming skills in Python, Java, or a similar language.
• Knowledge of AI/ML concepts and practical experience applying these techniques to software testing or quality assurance.
• Familiarity with secure access technologies, zero-trust security models, and network security principles.
• Experience with AWS DevOps tools and CI/CD pipelines; AI/ML integration experience is preferred.
• Understanding of security risks associated with AI/ML workloads and ways to mitigate them.
• Strong analytical and problem-solving abilities, with attention to detail.
• Ability to collaborate in a fast-paced, cross-functional team environment.

Responsibilities:

• Develop and maintain automated test suites for secure access products, applying AI/ML techniques to improve test coverage and efficiency.
• Use AI/ML models to identify redundant test cases, optimize test execution, and predict potential failure points to reduce production errors.
• Work with cross-functional teams to automate policy creation, testing, and troubleshooting for secure access features.
• Apply AI-driven analytics to detect advanced security threats and validate security controls in the secure access environment.
• Help design and implement AI/ML-powered DevOps pipelines for autonomous testing and CI/CD.
• Ensure AI/ML model usage and data handling comply with security standards and best practices.
• Monitor and analyze test results, sharing actionable insights to improve product quality and security.
• Keep up with emerging AI/ML technologies and security trends relevant to secure access solutions.

Technologies:

• AI
• AWS
• CI/CD
• DevOps
• Java
• Network
• Python
• Security
• Cloud

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We are hiring a full-time QA Automation Engineer with AI/ML expertise. The role is based in San Jose, California, and may be remote or hybrid. The stated salary range is $100,000–$130,000 per year, with full-time benefits.

last updated 44 week of 2026